Affiliation:
1. Nara Institute of Science and Technology
Abstract
We approach the zero-anaphora resolution problem by decomposing it into intrasentential and intersentential zero-anaphora resolution tasks. For the former task, syntactic patterns of zeropronouns and their antecedents are useful clues. Taking Japanese as a target language, we empirically demonstrate that incorporating rich syntactic pattern features in a state-of-the-art learning-based anaphora resolution model dramatically improves the accuracy of intrasentential zero-anaphora, which consequently improves the overall performance of zero-anaphora resolution.
Publisher
Association for Computing Machinery (ACM)
Reference48 articles.
1. Asahara M. and Matsumoto Y. 2003. IPADIC User Manual. Nara Institute of Science and Technology Japan. Asahara M. and Matsumoto Y. 2003. IPADIC User Manual. Nara Institute of Science and Technology Japan.
2. The Berkeley FrameNet Project
3. Baldwin B. 1995. Cogniac: A discourse processing engine. Ph.D. thesis Department of Computer and Information Sciences University of Pennsylvania. Baldwin B. 1995. Cogniac: A discourse processing engine. Ph.D. thesis Department of Computer and Information Sciences University of Pennsylvania.
4. Breiman L. 1999. Neural Computa. 11 7 1493--1518. 10.1162/089976699300016106 Breiman L. 1999. Neural Computa. 11 7 1493--1518. 10.1162/089976699300016106
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A survey on semantic processing techniques;Information Fusion;2024-01
2. Computational Models of Anaphora;Annual Review of Linguistics;2023-01-17
3. Chinese Zero Pronoun Resolution;ACM Transactions on Asian and Low-Resource Language Information Processing;2020-01-31
4. Chinese Zero Pronoun Resolution;ACM Transactions on Asian and Low-Resource Language Information Processing;2020-01-09
5. Automatic Knowledge Acquisition for Case Alternation between the Passive/Causative and Active Voices;Journal of Natural Language Processing;2014